
Neural Information Processing
16th International Conference, ICONIP 2009, Bangkok, Thailand, December 1-5, 2009, Proceedings, Part II
Springer (Publisher)
Published on 24. November 2009
Book
Paperback/Softback
XXXI, 888 pages
978-3-642-10682-8 (ISBN)
Description
th This two-volume set constitutes the Proceedings of the 16 International Conference on Neural Information Processing (ICONIP 2009), held in Bangkok, Thailand, during December 1-5, 2009. ICONIP is a world-renowned international conference that is held annually in the Asia-Pacific region. This prestigious event is sponsored by the Asia Pacific Neural Network Assembly (APNNA), and it has provided an annual forum for international researchers to exchange the latest ideas and advances in neural networks and related discipline. The School of Information Technology (SIT) at King Mongkut's University of Technology Thonburi (KMUTT), Bangkok, Thailand was the proud host of ICONIP 2009. The conference theme was "Challenges and Trends of Neural Information Processing," with an aim to discuss the past, present, and future challenges and trends in the field of neural information processing. ICONIP 2009 accepted 145 regular session papers and 53 special session papers from a total of 466 submissions received on the Springer Online Conference Service (OCS) system. The authors of accepted papers alone covered 36 countries and - gions worldwide and there are over 500 authors in these proceedings. The technical sessions were divided into 23 topical categories, including 9 special sessions.
More details
Series
Edition
2009 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Illustrations
XXXI, 888 p.
Dimensions
Height: 23.5 cm
Width: 15.5 cm
Weight
1269 gr
ISBN-13
978-3-642-10682-8 (9783642106828)
DOI
10.1007/978-3-642-10684-2
Schweitzer Classification
Content
Computer Vision.- Control and Robotics.- Evolutionary Computation.- Other Emerging Computational Methods.- Signal, Data and Text Processing.- Artificial Spiking Neural Systems: Nonlinear Dynamics and Engineering Applications.- Towards Brain-Inspired Systems.- Computational Advances in Bioinformatics.- Data Mining for Cybersecurity.- Evolutionary Neural Networks: Theory and Practice.- Hybrid and Adaptive Systems for Computer Vision and Robot Control.- Intelligent Data Mining.- Neural Networks for Data Mining.- SOM and Related Subjects and Its Applications.